期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2015
卷号：8
期号：2
页码：127-132
DOI：10.14257/ijgdc.2015.8.2.12
出版社：SERSC
摘要：With an increase in the demands, the Cloud computing has become one of the ongoing scalable approaches to fulfill the cloud based services. The biggest advantage of the cloud computing is the ability to overcome the infrastructural challenges those are earlier faced by other technologies. Since the technology is new, therefore the development of the whole structure is not so efficient. It does have a lot of issues on which various scientists and others are working on. Scheduling, load balancing, fault tolerance, etc. are various challenges faced by cloud computing. For this purpose various techniques and algorithms have been proposed. In this paper, we will discuss the issue of load balancing of cloud computing and we will study the different types of load balancing techniques used in in biomedical services and make a comparative analysis among all the existing techniques.
关键词：(OLB + LBMM); Genetic Algorithm; VectorDot; Stochastic Hill Climbing; ; LBVS- H; Ant colony optimization algorithm; Compare and Balance; Honey Bee ; Foraging
